The MEME Suite.
Bottom Line: Such motifs encode many biological functions, and their detection and characterization is important in the study of molecular interactions in the cell, including the regulation of gene expression.Since the previous description of the MEME Suite in the 2009 Nucleic Acids Research Web Server Issue, we have added six new tools.Here we describe the capabilities of all the tools within the suite, give advice on their best use and provide several case studies to illustrate how to combine the results of various MEME Suite tools for successful motif-based analyses.
Affiliation: Institute for Molecular Bioscience, The University of Queensland, Brisbane 4072, Queensland, Australia email@example.com.Show MeSH
Mentions: The web-based version of the MEME Suite comprises an integrated set of tools and databases for performing motif-based sequence analyses (Figure 1). The core of the suite is the meme motif discovery algorithm, which finds motifs in unaligned collections of DNA, RNA and protein sequences (1). Initially described in 1994, meme has been continually maintained and improved in the ensuing 20 years. The meme web server came online in 1996 and is now widely used, with almost 20 000 unique users in 2014 alone.
Affiliation: Institute for Molecular Bioscience, The University of Queensland, Brisbane 4072, Queensland, Australia firstname.lastname@example.org.